EP3078326A1 - Appareil de traitement des informations, procédé de traitement des informations, et programme - Google Patents

Appareil de traitement des informations, procédé de traitement des informations, et programme Download PDF

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Publication number
EP3078326A1
EP3078326A1 EP14868106.7A EP14868106A EP3078326A1 EP 3078326 A1 EP3078326 A1 EP 3078326A1 EP 14868106 A EP14868106 A EP 14868106A EP 3078326 A1 EP3078326 A1 EP 3078326A1
Authority
EP
European Patent Office
Prior art keywords
section
sleep
user
sensor
specific action
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP14868106.7A
Other languages
German (de)
English (en)
Other versions
EP3078326A4 (fr
Inventor
Masanori Katsu
Masatomo Kurata
Sota MATSUZAWA
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sony Corp
Original Assignee
Sony Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sony Corp filed Critical Sony Corp
Publication of EP3078326A1 publication Critical patent/EP3078326A1/fr
Publication of EP3078326A4 publication Critical patent/EP3078326A4/fr
Withdrawn legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4809—Sleep detection, i.e. determining whether a subject is asleep or not
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
    • A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4812—Detecting sleep stages or cycles
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4806—Sleep evaluation
    • A61B5/4815—Sleep quality

Definitions

  • a result R1 indicating the sleep section is acquired by the processing of the feature amount calculation unit 401, the stable section detection unit 403, the filter processing unit 405, and the specific action determination unit 407.
  • the result R1 it can be said that the sleep section is specified based on the relationship between the pure stable section and the specific action section, without applying the filter with respect to the sleep section detection result, except that the excessively short stable section is excluded by the filter processing unit 405.
  • the result R1 may be used as an input of processing of a section combination unit 409 to be described below or may be output as it is.
  • the section combination unit 409 combines sections having a close gap in the sleep section specified by the result R1. More specifically, for example, in a case where a gap between the sleep sections is equal to or less than a predetermined time (for example, thirty minutes), the section combination unit 409 combines these sections.
  • a predetermined time for example, thirty minutes
  • the section combination unit 409 combines these sections.
  • the condition of the specific action section is that the detection values of the acceleration sensor are stable at different values before and after the corresponding section
  • the section in which the posture returns to the same posture as a result of changing the posture by the user's turning-over and a movement similar thereto is detected as the specific action section.
  • such a section also may be included in the sleep section of the user, for example, in a case where the section occurs in a sufficiently short time as compared with the stable section.
  • the server 700 is realized by one information processing apparatus or a plurality of information processing apparatuses on the network.
  • the behavior recognition unit 230, the processing unit 240, the integrated analysis unit 250, and the storage 260, which are included in the server 700, are elements similar to those included in the smartphone 200 according to the first embodiment. Since the functions of these elements are substantially the same as those of the first embodiment, a detailed description thereof will be omitted.
  • the stable section detection unit 303 detects a section in which the posture of the sensor device 100 is regularly changed. For example, such a stable section is detected as a section in which the acceleration sensor detection value included in the first sensor data is regularly changed.
  • a sleep state some examples may be considered.
  • One example is a case where the user is lying down on a bed and is substantially stationary and asleep.
  • Another example is a case where the user is asleep while sitting on a chair in a house or a vehicle.
  • the latter case is a so-called "nod off" state.
  • a regular body movement such as up-and-down movement of a head occurs.
  • such a state is detected as a sleep state.
  • the detector selection unit 801 is realized by, for example, the processor of the sensor device 100 or the smartphone 200.
  • the detector selection unit 801 selects one or more detectors to be used, for example, according to whether or not the sensor device 100 is attached to the user, how much a battery residual quantity of the sensor device 100 remains, or what action of the user (including simple position information) is recognized by the behavior recognition unit 230 of the smartphone 200 side. All selectable detectors may be selected.
  • the neck motion detector 805 includes, for example, sensing by the acceleration sensor included in the sensor 110, pre-processing of the detection value in the pre-processing unit 120, and detection of the user's neck motion based on the detection value and detection of the sleep section based on that in the processing unit 240 (for example, detection of the sleep section using the detection of the section in which the user's neck (head) motion is regular (nod-off section)). Therefore, in a case where the detector selection unit 801 selects the neck motion detector 805, a series of processing is performed for detecting a sleep section based on the detection of the user's neck (head) motion as described above.
  • the senor to be used may be switched according to the battery residual quantity of the sensor device 100, or the method of detecting an optimal sleep section according to situations may be used, even while the sensor device 100 is detached.
  • the sleep section detection result is applied by outputting the control signal of the external device and outputting information for notifying other user of the sleep section detection result.
  • example application of these sleep section detection result will be described with reference to a more specific example.
  • the external device control unit 309 of the information processing apparatus 300 output the control signal in a case where the start of the sleep section is detected
  • a control signal for stopping or pausing the external device as described above is output
  • a control signal for causing the external device to set an alarm based on the start time of the sleep section is output.
  • the external device control unit 309 may output a control signal for performing a predetermined operation to the external device.
  • the external device control unit 309 may output a control signal for performing backup or upload, analysis, or the like with respect to an information processing terminal such as a personal computer.
  • the notification information output unit 311 may output notification to request a friend to take a behavior that wakes the user (for example, making a phone call).
  • the external device control unit 309 may output a control signal to the external device (as described above, including other functions realized by the same processor) so as to sound an alarm at the time when the user must wake for the execution of the schedule, and in a case where the user does not wake in spite of the alarm (in a case where the end of the sleep section is not detected), the notification information output unit 311 may output the notification to other user.
  • FIG. 7 is a block diagram showing a hardware configuration of the information processing apparatus according to an embodiment of the present disclosure.
  • An information processing apparatus 900 which is shown may achieve the sensor device, the smartphone, and the server in the above described embodiments, for example.
  • the information processing apparatus 900 includes a central processing unit (CPU) 901, read only memory (ROM) 903, and random access memory (RAM) 905. Further, the information processing apparatus 900 may also include a host bus 907, a bridge 909, an external bus 911, an interface 913, an input device 915, an output device 917, a storage device 919, a drive 921, a connection port 923, and a communication device 925. Furthermore, the information processing apparatus 900 may include an imaging device 933 and a sensor 935 as necessary. The information processing apparatus 900 may also include, instead of or along with the CPU 901, a processing circuit such as a digital signal processor (DSP) or an application specific integrated circuit (ASIC).
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • the communication device 925 is a communication interface configured from, for example, a communication device for establishing a connection to a communication network 931.
  • the communication device 925 is, for example, a wired or wireless local area network (LAN), Bluetooth (registered trademark), a communication card for wireless USB (WUSB), or the like.
  • the communication device 925 may be a router for optical communication, a router for asymmetric digital subscriber line (ADSL), a modem for various communications, or the like.
  • the communication device 925 can transmit and receive signals and the like using a certain protocol such as TCP/IP on the Internet and with other communication devices, for example.
  • the communication network 931 connected to the communication device 925 is configured from a network which is connected via wire or wirelessly and is, for example, the Internet, a home-use LAN, infrared communication, radio wave communication, and satellite communication.
  • the imaging device 933 is a device which images a real space by use of various members including an image sensor such as a charge coupled device (CCD) or a complementary metal oxide semiconductor (CMOS) and a lens for controlling image formation of a subject on the image sensor, and generates a pickup image.
  • the imaging device 933 may image a still image or a moving image.

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Physiology (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Anesthesiology (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
EP14868106.7A 2013-12-03 2014-09-12 Appareil de traitement des informations, procédé de traitement des informations, et programme Withdrawn EP3078326A4 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2013250187 2013-12-03
PCT/JP2014/074257 WO2015083411A1 (fr) 2013-12-03 2014-09-12 Appareil de traitement des informations, procédé de traitement des informations, et programme

Publications (2)

Publication Number Publication Date
EP3078326A1 true EP3078326A1 (fr) 2016-10-12
EP3078326A4 EP3078326A4 (fr) 2017-08-09

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP14868106.7A Withdrawn EP3078326A4 (fr) 2013-12-03 2014-09-12 Appareil de traitement des informations, procédé de traitement des informations, et programme

Country Status (4)

Country Link
US (1) US20160249852A1 (fr)
EP (1) EP3078326A4 (fr)
JP (1) JPWO2015083411A1 (fr)
WO (1) WO2015083411A1 (fr)

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CN105573495B (zh) * 2015-12-14 2020-06-23 联想(北京)有限公司 一种信息处理方法及穿戴式设备
JP6542718B2 (ja) * 2016-06-27 2019-07-10 日本電信電話株式会社 変化点検知装置、変化点検知方法および変化点検知プログラム
US10621992B2 (en) * 2016-07-22 2020-04-14 Lenovo (Singapore) Pte. Ltd. Activating voice assistant based on at least one of user proximity and context
US10664533B2 (en) 2017-05-24 2020-05-26 Lenovo (Singapore) Pte. Ltd. Systems and methods to determine response cue for digital assistant based on context
CN110996796B (zh) * 2017-08-08 2023-01-31 索尼公司 信息处理设备、方法和程序
JP7180216B2 (ja) * 2018-09-05 2022-11-30 日本電信電話株式会社 生体情報解析装置、生体情報解析方法、および生体情報解析システム
CN109480782B (zh) * 2018-11-16 2023-10-20 深圳和而泰智能家电控制器有限公司 一种睡眠状态检测方法、装置及设备
CN109875518A (zh) * 2019-04-02 2019-06-14 浙江和也健康科技有限公司 一种多用户睡眠状况同步监测***及监测方法
JP2021041088A (ja) * 2019-09-13 2021-03-18 株式会社東芝 電子装置及び方法
US11395232B2 (en) * 2020-05-13 2022-07-19 Roku, Inc. Providing safety and environmental features using human presence detection

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Also Published As

Publication number Publication date
JPWO2015083411A1 (ja) 2017-03-16
WO2015083411A1 (fr) 2015-06-11
EP3078326A4 (fr) 2017-08-09
US20160249852A1 (en) 2016-09-01

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